About

Antonio Gil-Moreno is a prominent gynecologic oncologist whose research has significantly advanced minimally invasive surgical techniques for the treatment of cervical, endometrial, and ovarian cancers. His work centers on refining laparoscopic and robotic-assisted approaches to complex oncological procedures, including radical hysterectomy, pelvic lymphadenectomy, and paraaortic staging — procedures that are critical for accurate cancer staging and treatment planning. Among his most influential contributions is his comparative analysis of robotic-assisted versus conventional laparoscopy for extraperitoneal paraaortic lymphadenectomy (58 citations), which helped establish the clinical value of robotic platforms in gynecologic surgery. His involvement in the landmark STELLA Trial rigorously evaluated transperitoneal versus extraperitoneal aortic lymphadenectomy approaches, providing high-level evidence to guide surgical decision-making. His investigations into nerve-sparing robotic radical hysterectomy reflect a commitment to preserving patients' quality of life alongside oncological efficacy. Gil-Moreno has also addressed practical challenges in the field, including surgical management in obese endometrial cancer patients and optimizing sentinel lymph node detection through the COMBITEC study. With collectively hundreds of citations across his portfolio, his work continues to shape evidence-based standards in minimally invasive gynecologic oncology, making him an essential reference point for surgeons and researchers in the discipline.

Research Focus

Key Achievements

11
H-Index
16
Papers
322
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of robotic-assisted vs conventional laparoscopy for extraperitoneal paraaortic lymphadenectomy
58 citations · 2013
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 74
🏛 Institutions: Universitat Autònoma de Barcelona, Hospital Materno-Infantil, Vall d'Hebron Hospital Universitari, Centro de Investigación Biomédica en Red de Cáncer

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago